Overview

Dataset statistics

Number of variables25
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Total size in memory3.6 MiB
Average record size in memory3.7 KiB

Variable types

Numeric1
Text24

Alerts

0 has unique valuesUnique
the_geom has unique valuesUnique
bct2010 has unique valuesUnique
centract10 has unique valuesUnique
shape_area has unique valuesUnique
shape_length has unique valuesUnique

Reproduction

Analysis started2023-12-09 21:16:59.550718
Analysis finished2023-12-09 21:17:02.040323
Duration2.49 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T21:17:02.322775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T21:17:02.480569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%

the_geom
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
2023-12-09T21:17:03.203519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length81720
Median length2075
Mean length2309.852
Min length354

Characters and Unicode

Total characters2309852
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((972081.7881469727 190733.46728515625, 972184.765625 190551.13598632812, 972398.5417480469 190683.22100830078, 972384.9669799805 190709.01690673828, 972407.172668457 190721.47619628906, 972448.893371582 190651.34246826172, 972425.1555786133 190638.75457763672, 972410.0499267578 190663.93072509766, 972195.4161987305 190532.7797241211, 972181.7885742188 190370.3115234375, 972147.2083129883 190215.68060302734, 972054.6028442383 190148.63446044922, 971940.7106933594 190124.56268310547, 971830.1340942383 190153.5767211914, 971416.6680908203 190420.3950805664, 971270.5122070312 190648.48126220703, 971083.6218261719 190524.02252197266, 971013.4880981445 190634.79821777344, 971053.4105834961 190659.25518798828, 971096.2097167969 190594.15655517578, 971245.7940673828 190687.05596923828, 971160.3844604492 190820.34313964844, 971185.2932128906 190836.94213867188, 971183.8558959961 190904.4873046875, 971165.1843261719 190937.85107421875, 971161.9395751953 190943.6489868164, 971156.8642926803 190953.57004978938, 971153.4205632673 190964.16847943023, 971151.6949278038 190975.17793742634, 971151.7307514724 190986.3217563313, 971153.5271340251 190997.3198922118, 971157.0389324062 191007.8959621459, 971162.1778951971 191017.78418972, 971168.8148803711 191026.73608398438, 971176.9674897598 191033.7222976408, 971186.0583064096 191039.43450157068, 971195.889907672 191043.7486454853, 971206.2487834918 191046.57104036293, 971216.9099731445 191047.8403930664, 971445.7720336914 191065.4453125, 971452.598449707 191074.4276123047, 971466.8968741229 191073.47921087075, 971481.0628423444 191071.31825034248, 971494.9937133789 191067.9603881836, 971513.918125794 191059.80676223617, 971532.119934082 191050.14709472656, 971879.8174438477 190874.1307373047, 972081.7881469727 190733.46728515625)), ((973172.6661987305 194632.34796142578, 973310.6301879883 194502.04833984375, 973330.0048217773 194518.2651977539, 973793.2912597656 194068.6043701172, 973686.0415039062 193957.69940185547, 973649.4211425781 193713.28155517578, 973435.6620483398 193713.84912109375, 973341.3597412109 193621.21447753906, 973177.1806640625 193777.552734375, 973087.7077026367 193872.4652709961, 972814.1337890625 194139.25213623047, 972674.0189208984 193997.63891601562, 973182.6511230469 193470.64556884766, 972697.7225952148 193015.7984008789, 972139.7578125 193587.13250732422, 972149.9808959961 193597.2660522461, 972144.5357055664 193603.04656982422, 972408.7986450195 193871.24841308594, 972336.4365844727 193943.69842529297, 972854.2275390625 194487.60614013672, 972936.7647705078 194405.81427001953, 973072.2192382812 194535.89013671875, 973050.4538574219 194558.35272216797, 973044.6995849609 194555.11547851562, 973010.1721191406 194592.8798828125, 973025.6373291016 194606.90673828125, 973061.9630126953 194568.78247070312, 973057.6470947266 194564.46685791016, 973078.9938354492 194542.3953857422, 973172.6661987305 194632.34796142578)))
2nd rowMULTIPOLYGON (((988548.2181396484 197770.37481689453, 987978.8081665039 197698.24536132812, 987963.8734741211 198046.60327148438, 987963.6080932617 198052.38018798828, 987962.5942993164 198074.40112304688, 987961.6067504883 198091.26098632812, 987959.293762207 198118.18713378906, 987925.4125976562 198508.7407836914, 987922.408996582 198538.06524658203, 987905.7538452148 198700.6561279297, 987887.6807250977 198877.11016845703, 987885.190612793 198901.4197998047, 987883.0305175781 198922.51098632812, 987874.4251708984 199006.52557373047, 987848.512512207 199256.93878173828, 987837.8114013672 199274.0174560547, 987825.8055419922 199289.3773803711, 987803.0151977539 199493.65454101562, 987807.7803344727 199519.91235351562, 988171.4616699219 199559.34466552734, 988222.2197875977 199564.87713623047, 988246.1226196289 199567.47033691406, 988312.9338378906 199574.4666748047, 988340.9006347656 199350.08099365234, 988376.7305908203 199328.61779785156, 988392.3999023438 199070.2977294922, 988399.7344970703 199005.50885009766, 988401.5845947266 198989.16796875, 988422.1865844727 198807.1880493164, 988449.2885131836 198567.6865234375, 988468.3774414062 198396.69018554688, 988490.9429931641 198204.7745361328, 988496.2645263672 198169.45965576172, 988498.7677612305 198154.33862304688, 988501.4547729492 198136.33966064453, 988504.1384887695 198118.3380126953, 988548.2181396484 197770.37481689453)))
3rd rowMULTIPOLYGON (((986961.185546875 199553.64324951172, 987206.1390991211 199454.73266601562, 987382.0764160156 199473.7601928711, 987464.4719238281 199482.70111083984, 987668.9993896484 199504.86938476562, 987807.7803344727 199519.91235351562, 987803.0151977539 199493.65454101562, 987825.8055419922 199289.3773803711, 987837.8114013672 199274.0174560547, 987848.512512207 199256.93878173828, 987874.4251708984 199006.52557373047, 987883.0305175781 198922.51098632812, 987885.190612793 198901.4197998047, 987887.6807250977 198877.11016845703, 987905.7538452148 198700.6561279297, 987922.408996582 198538.06524658203, 987925.4125976562 198508.7407836914, 987959.293762207 198118.18713378906, 987961.6067504883 198091.26098632812, 987962.5942993164 198074.40112304688, 987963.6080932617 198052.38018798828, 987963.8734741211 198046.60327148438, 987978.8081665039 197698.24536132812, 987531.1909790039 197641.65032958984, 987528.8369750977 197638.27532958984, 987468.6123657227 197630.77337646484, 987453.1156616211 197633.27471923828, 987443.9273681641 197641.29833984375, 987439.0471191406 197648.7514038086, 987400.3897094727 197916.80432128906, 987397.9625854492 197918.5792236328, 987391.8159179688 197919.70819091797, 987383.8871459961 197922.77313232422, 987377.895690918 197929.5634765625, 987372.5977783203 197938.17993164062, 987355.8635864258 197936.67138671875, 987327.7845458984 197932.3426513672, 987200.4793701172 197912.7442626953, 987171.920715332 197908.47857666016, 987140.3643188477 197902.93493652344, 987093.052734375 197893.70428466797, 986978.5267333984 197872.41857910156, 986879.8454589844 197851.82708740234, 986803.6264648438 197835.6509399414, 986726.3595581055 197823.88354492188, 986647.8302001953 197810.43280029297, 986550.3789672852 197790.35968017578, 986532.3051757812 197786.6392211914, 986494.1444702148 197775.8302001953, 986489.9761962891 197786.35772705078, 986483.6011962891 197799.02111816406, 986474.8315429688 197819.59844970703, 986466.2718505859 197838.15814208984, 986454.5805664062 197867.19122314453, 986464.1711425781 197869.3490600586, 986493.0079956055 197878.4061279297, 986513.8074951172 197882.91986083984, 986529.0551757812 197885.5546875, 986517.5863647461 197972.17431640625, 986490.9309082031 198166.43145751953, 986474.3295898438 198280.74224853516, 986467.4194946289 198318.72576904297, 986461.7337646484 198349.9766845703, 986430.2955322266 198522.7808227539, 986424.9307250977 198552.26959228516, 986422.8057250977 198570.34271240234, 986420.0534057617 198595.81677246094, 986410.8004760742 198663.05346679688, 986407.2536010742 198701.31524658203, 986400.41796875 198775.05487060547, 986397.5042724609 198806.48596191406, 986393.6801147461 198847.7391357422, 986359.2543334961 199111.2392578125, 986341.4755249023 199319.66107177734, 986337.9682617188 199353.88671875, 986311.8528442383 199547.43591308594, 986430.3795166016 199559.0044555664, 986682.4689331055 199583.3807373047, 986812.8590698242 199607.96069335938, 986961.185546875 199553.64324951172)))
4th rowMULTIPOLYGON (((987475.0165405273 200297.2182006836, 987705.442565918 200206.51300048828, 987931.0261230469 200117.50366210938, 988167.8957519531 200024.31158447266, 988286.2156982422 199977.27758789062, 988404.8145751953 199930.13232421875, 988613.8101806641 199847.03833007812, 988868.9113769531 199746.1596069336, 988962.572265625 199710.88079833984, 989114.1766357422 199660.89727783203, 989082.5447998047 199655.921875, 988929.5477294922 199631.8582763672, 988489.5715942383 199592.89184570312, 988312.9338378906 199574.4666748047, 988246.1226196289 199567.47033691406, 988222.2197875977 199564.87713623047, 988171.4616699219 199559.34466552734, 987807.7803344727 199519.91235351562, 987668.9993896484 199504.86938476562, 987464.4719238281 199482.70111083984, 987382.0764160156 199473.7601928711, 987206.1390991211 199454.73266601562, 986961.185546875 199553.64324951172, 986959.1350097656 199585.24127197266, 986960.7819824219 199616.96990966797, 986966.1002197266 199648.18408203125, 987090.3060302734 199971.6939086914, 987256.4572753906 200392.98864746094, 987475.0165405273 200297.2182006836)))
5th rowMULTIPOLYGON (((988387.6688842773 201258.31176757812, 988621.0017700195 201165.13610839844, 988852.9370117188 201071.46173095703, 988686.6053466797 200650.34411621094, 988676.1939086914 200622.16766357422, 988671.7847900391 200610.23626708984, 988656.7464599609 200569.83770751953, 988642.336730957 200537.11108398438, 988637.1618652344 200524.30072021484, 988620.6474609375 200483.421875, 988536.6417236328 200278.5239868164, 988404.8145751953 199930.13232421875, 988286.2156982422 199977.27758789062, 988167.8957519531 200024.31158447266, 987931.0261230469 200117.50366210938, 987705.442565918 200206.51300048828, 987475.0165405273 200297.2182006836, 987589.8654174805 200595.95739746094, 987599.6629638672 200621.4422607422, 987609.9440917969 200648.1849975586, 987709.2349243164 200883.9256591797, 987733.3427734375 200941.16345214844, 987744.4615478516 200974.1160888672, 987753.8217773438 200998.26306152344, 987922.5123901367 201443.88256835938, 988155.4978027344 201351.42504882812, 988387.6688842773 201258.31176757812)))
ValueCountFrequency (%)
multipolygon 1000
 
0.8%
188965.01416015625 66
 
0.1%
1020001.0889282227 32
 
< 0.1%
1024999.999206543 7
 
< 0.1%
249100.92474365234 6
 
< 0.1%
210938.64965820312 6
 
< 0.1%
1018081.7656860352 6
 
< 0.1%
185038.5252685547 6
 
< 0.1%
1039230.0757446289 6
 
< 0.1%
193909.03216552734 6
 
< 0.1%
Other values (86954) 119311
99.1%
2023-12-09T21:17:03.835242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 256497
11.1%
2 228736
9.9%
0 220523
9.5%
5 190389
8.2%
4 188399
8.2%
3 188166
8.1%
8 181769
7.9%
9 181101
7.8%
6 179407
7.8%
7 179028
7.8%
Other values (15) 315837
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1994015
86.3%
Other Punctuation 178173
 
7.7%
Space Separator 119452
 
5.2%
Uppercase Letter 12000
 
0.5%
Close Punctuation 3106
 
0.1%
Open Punctuation 3106
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 256497
12.9%
2 228736
11.5%
0 220523
11.1%
5 190389
9.5%
4 188399
9.4%
3 188166
9.4%
8 181769
9.1%
9 181101
9.1%
6 179407
9.0%
7 179028
9.0%
Uppercase Letter
ValueCountFrequency (%)
O 2000
16.7%
L 2000
16.7%
U 1000
8.3%
N 1000
8.3%
G 1000
8.3%
Y 1000
8.3%
P 1000
8.3%
I 1000
8.3%
T 1000
8.3%
M 1000
8.3%
Other Punctuation
ValueCountFrequency (%)
. 119447
67.0%
, 58726
33.0%
Space Separator
ValueCountFrequency (%)
119452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2297852
99.5%
Latin 12000
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 256497
11.2%
2 228736
10.0%
0 220523
9.6%
5 190389
8.3%
4 188399
8.2%
3 188166
8.2%
8 181769
7.9%
9 181101
7.9%
6 179407
7.8%
7 179028
7.8%
Other values (5) 303837
13.2%
Latin
ValueCountFrequency (%)
O 2000
16.7%
L 2000
16.7%
U 1000
8.3%
N 1000
8.3%
G 1000
8.3%
Y 1000
8.3%
P 1000
8.3%
I 1000
8.3%
T 1000
8.3%
M 1000
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2309852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 256497
11.1%
2 228736
9.9%
0 220523
9.5%
5 190389
8.2%
4 188399
8.2%
3 188166
8.1%
8 181769
7.9%
9 181101
7.8%
6 179407
7.8%
7 179028
7.8%
Other values (15) 315837
13.7%

bct2010
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T21:17:04.261285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row1000100
2nd row1000201
3rd row1000600
4th row1001401
5th row1001402
ValueCountFrequency (%)
4016800 1
 
0.1%
4075701 1
 
0.1%
2013300 1
 
0.1%
4129102 1
 
0.1%
2034400 1
 
0.1%
4064101 1
 
0.1%
4065600 1
 
0.1%
4036100 1
 
0.1%
2042800 1
 
0.1%
1009500 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T21:17:04.803868image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2948
42.1%
4 903
 
12.9%
1 834
 
11.9%
2 756
 
10.8%
3 333
 
4.8%
5 280
 
4.0%
7 255
 
3.6%
9 250
 
3.6%
6 236
 
3.4%
8 205
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2948
42.1%
4 903
 
12.9%
1 834
 
11.9%
2 756
 
10.8%
3 333
 
4.8%
5 280
 
4.0%
7 255
 
3.6%
9 250
 
3.6%
6 236
 
3.4%
8 205
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Common 7000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2948
42.1%
4 903
 
12.9%
1 834
 
11.9%
2 756
 
10.8%
3 333
 
4.8%
5 280
 
4.0%
7 255
 
3.6%
9 250
 
3.6%
6 236
 
3.4%
8 205
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2948
42.1%
4 903
 
12.9%
1 834
 
11.9%
2 756
 
10.8%
3 333
 
4.8%
5 280
 
4.0%
7 255
 
3.6%
9 250
 
3.6%
6 236
 
3.4%
8 205
 
2.9%

centract10
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:17:05.077931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.886
Min length11

Characters and Unicode

Total characters12886
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row36061000100.0
2nd row36061000201.0
3rd row36061000600.0
4th row36061001401.0
5th row36061001402.0
ValueCountFrequency (%)
36005027700.0 1
 
0.1%
36061007300.0 1
 
0.1%
36005002002.0 1
 
0.1%
36081126700.0 1
 
0.1%
36005006500.0 1
 
0.1%
36005004100.0 1
 
0.1%
36061010801.0 1
 
0.1%
36081100804.0 1
 
0.1%
36081105900.0 1
 
0.1%
36061006700.0 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T21:17:05.483889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5137
39.9%
6 1424
 
11.1%
1 1400
 
10.9%
3 1333
 
10.3%
. 943
 
7.3%
8 771
 
6.0%
5 526
 
4.1%
2 510
 
4.0%
4 337
 
2.6%
7 255
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11943
92.7%
Other Punctuation 943
 
7.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5137
43.0%
6 1424
 
11.9%
1 1400
 
11.7%
3 1333
 
11.2%
8 771
 
6.5%
5 526
 
4.4%
2 510
 
4.3%
4 337
 
2.8%
7 255
 
2.1%
9 250
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 943
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12886
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5137
39.9%
6 1424
 
11.1%
1 1400
 
10.9%
3 1333
 
10.3%
. 943
 
7.3%
8 771
 
6.0%
5 526
 
4.1%
2 510
 
4.0%
4 337
 
2.6%
7 255
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5137
39.9%
6 1424
 
11.1%
1 1400
 
10.9%
3 1333
 
10.3%
. 943
 
7.3%
8 771
 
6.0%
5 526
 
4.1%
2 510
 
4.0%
4 337
 
2.6%
7 255
 
2.0%

comp2010ap
Text

Distinct90
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size58.9 KiB
2023-12-09T21:17:05.750491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.223
Min length3

Characters and Unicode

Total characters3223
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)5.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row2.0
ValueCountFrequency (%)
0.0 547
54.7%
1.0 132
 
13.2%
2.0 70
 
7.0%
6.0 32
 
3.2%
3.0 31
 
3.1%
4.0 28
 
2.8%
5.0 21
 
2.1%
12.0 8
 
0.8%
7.0 8
 
0.8%
8.0 7
 
0.7%
Other values (70) 116
 
11.6%
2023-12-09T21:17:06.143428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1563
48.5%
. 1000
31.0%
1 205
 
6.4%
2 115
 
3.6%
- 83
 
2.6%
3 49
 
1.5%
4 49
 
1.5%
6 48
 
1.5%
5 47
 
1.5%
8 25
 
0.8%
Other values (2) 39
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2140
66.4%
Other Punctuation 1000
31.0%
Dash Punctuation 83
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1563
73.0%
1 205
 
9.6%
2 115
 
5.4%
3 49
 
2.3%
4 49
 
2.3%
6 48
 
2.2%
5 47
 
2.2%
8 25
 
1.2%
7 22
 
1.0%
9 17
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1563
48.5%
. 1000
31.0%
1 205
 
6.4%
2 115
 
3.6%
- 83
 
2.6%
3 49
 
1.5%
4 49
 
1.5%
6 48
 
1.5%
5 47
 
1.5%
8 25
 
0.8%
Other values (2) 39
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1563
48.5%
. 1000
31.0%
1 205
 
6.4%
2 115
 
3.6%
- 83
 
2.6%
3 49
 
1.5%
4 49
 
1.5%
6 48
 
1.5%
5 47
 
1.5%
8 25
 
0.8%
Other values (2) 39
 
1.2%

comp2010
Text

Distinct104
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:06.435272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.273
Min length3

Characters and Unicode

Total characters3273
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.2%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row2.0
ValueCountFrequency (%)
0.0 484
48.4%
1.0 136
 
13.6%
2.0 76
 
7.6%
4.0 34
 
3.4%
6.0 31
 
3.1%
3.0 28
 
2.8%
5.0 20
 
2.0%
7.0 17
 
1.7%
12.0 11
 
1.1%
8.0 10
 
1.0%
Other values (82) 153
 
15.3%
2023-12-09T21:17:06.854019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1511
46.2%
. 1000
30.6%
1 232
 
7.1%
2 128
 
3.9%
- 89
 
2.7%
3 61
 
1.9%
4 59
 
1.8%
5 47
 
1.4%
6 45
 
1.4%
7 38
 
1.2%
Other values (2) 63
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2184
66.7%
Other Punctuation 1000
30.6%
Dash Punctuation 89
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1511
69.2%
1 232
 
10.6%
2 128
 
5.9%
3 61
 
2.8%
4 59
 
2.7%
5 47
 
2.2%
6 45
 
2.1%
7 38
 
1.7%
8 36
 
1.6%
9 27
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1511
46.2%
. 1000
30.6%
1 232
 
7.1%
2 128
 
3.9%
- 89
 
2.7%
3 61
 
1.9%
4 59
 
1.8%
5 47
 
1.4%
6 45
 
1.4%
7 38
 
1.2%
Other values (2) 63
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1511
46.2%
. 1000
30.6%
1 232
 
7.1%
2 128
 
3.9%
- 89
 
2.7%
3 61
 
1.9%
4 59
 
1.8%
5 47
 
1.4%
6 45
 
1.4%
7 38
 
1.2%
Other values (2) 63
 
1.9%

comp2011
Text

Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:07.104002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.254
Min length3

Characters and Unicode

Total characters3254
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)4.2%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 502
50.2%
1.0 144
 
14.4%
2.0 71
 
7.1%
3.0 40
 
4.0%
6.0 27
 
2.7%
4.0 27
 
2.7%
8.0 20
 
2.0%
7.0 17
 
1.7%
10.0 14
 
1.4%
5.0 13
 
1.3%
Other values (57) 125
 
12.5%
2023-12-09T21:17:07.482268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1530
47.0%
. 1000
30.7%
1 219
 
6.7%
2 123
 
3.8%
- 114
 
3.5%
3 65
 
2.0%
4 52
 
1.6%
6 44
 
1.4%
7 35
 
1.1%
8 30
 
0.9%
Other values (2) 42
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2140
65.8%
Other Punctuation 1000
30.7%
Dash Punctuation 114
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1530
71.5%
1 219
 
10.2%
2 123
 
5.7%
3 65
 
3.0%
4 52
 
2.4%
6 44
 
2.1%
7 35
 
1.6%
8 30
 
1.4%
5 25
 
1.2%
9 17
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1530
47.0%
. 1000
30.7%
1 219
 
6.7%
2 123
 
3.8%
- 114
 
3.5%
3 65
 
2.0%
4 52
 
1.6%
6 44
 
1.4%
7 35
 
1.1%
8 30
 
0.9%
Other values (2) 42
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1530
47.0%
. 1000
30.7%
1 219
 
6.7%
2 123
 
3.8%
- 114
 
3.5%
3 65
 
2.0%
4 52
 
1.6%
6 44
 
1.4%
7 35
 
1.1%
8 30
 
0.9%
Other values (2) 42
 
1.3%

comp2012
Text

Distinct65
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size58.9 KiB
2023-12-09T21:17:07.695402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.209
Min length3

Characters and Unicode

Total characters3209
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row3.0
3rd row23.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 536
53.6%
1.0 152
 
15.2%
2.0 74
 
7.4%
3.0 43
 
4.3%
4.0 35
 
3.5%
6.0 22
 
2.2%
5.0 19
 
1.9%
8.0 17
 
1.7%
7.0 13
 
1.3%
9.0 8
 
0.8%
Other values (41) 81
 
8.1%
2023-12-09T21:17:08.030794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1545
48.1%
. 1000
31.2%
1 213
 
6.6%
- 122
 
3.8%
2 98
 
3.1%
3 55
 
1.7%
4 51
 
1.6%
6 32
 
1.0%
5 28
 
0.9%
8 27
 
0.8%
Other values (2) 38
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2087
65.0%
Other Punctuation 1000
31.2%
Dash Punctuation 122
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1545
74.0%
1 213
 
10.2%
2 98
 
4.7%
3 55
 
2.6%
4 51
 
2.4%
6 32
 
1.5%
5 28
 
1.3%
8 27
 
1.3%
7 23
 
1.1%
9 15
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1545
48.1%
. 1000
31.2%
1 213
 
6.6%
- 122
 
3.8%
2 98
 
3.1%
3 55
 
1.7%
4 51
 
1.6%
6 32
 
1.0%
5 28
 
0.9%
8 27
 
0.8%
Other values (2) 38
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1545
48.1%
. 1000
31.2%
1 213
 
6.6%
- 122
 
3.8%
2 98
 
3.1%
3 55
 
1.7%
4 51
 
1.6%
6 32
 
1.0%
5 28
 
0.9%
8 27
 
0.8%
Other values (2) 38
 
1.2%

comp2013
Text

Distinct76
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:08.250005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.242
Min length3

Characters and Unicode

Total characters3242
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 538
53.8%
1.0 150
 
15.0%
2.0 78
 
7.8%
3.0 47
 
4.7%
4.0 25
 
2.5%
5.0 22
 
2.2%
7.0 17
 
1.7%
6.0 12
 
1.2%
10.0 9
 
0.9%
8.0 9
 
0.9%
Other values (47) 93
 
9.3%
2023-12-09T21:17:08.596188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1559
48.1%
. 1000
30.8%
1 207
 
6.4%
- 134
 
4.1%
2 98
 
3.0%
3 72
 
2.2%
4 39
 
1.2%
5 38
 
1.2%
6 31
 
1.0%
7 25
 
0.8%
Other values (2) 39
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2108
65.0%
Other Punctuation 1000
30.8%
Dash Punctuation 134
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1559
74.0%
1 207
 
9.8%
2 98
 
4.6%
3 72
 
3.4%
4 39
 
1.9%
5 38
 
1.8%
6 31
 
1.5%
7 25
 
1.2%
8 22
 
1.0%
9 17
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1559
48.1%
. 1000
30.8%
1 207
 
6.4%
- 134
 
4.1%
2 98
 
3.0%
3 72
 
2.2%
4 39
 
1.2%
5 38
 
1.2%
6 31
 
1.0%
7 25
 
0.8%
Other values (2) 39
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1559
48.1%
. 1000
30.8%
1 207
 
6.4%
- 134
 
4.1%
2 98
 
3.0%
3 72
 
2.2%
4 39
 
1.2%
5 38
 
1.2%
6 31
 
1.0%
7 25
 
0.8%
Other values (2) 39
 
1.2%

comp2014
Text

Distinct84
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:08.834883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.237
Min length3

Characters and Unicode

Total characters3237
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)5.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 574
57.4%
1.0 158
 
15.8%
2.0 63
 
6.3%
4.0 36
 
3.6%
3.0 26
 
2.6%
6.0 17
 
1.7%
5.0 16
 
1.6%
7.0 12
 
1.2%
9.0 8
 
0.8%
12.0 7
 
0.7%
Other values (58) 83
 
8.3%
2023-12-09T21:17:09.188262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1583
48.9%
. 1000
30.9%
1 207
 
6.4%
- 141
 
4.4%
2 92
 
2.8%
4 51
 
1.6%
3 45
 
1.4%
6 31
 
1.0%
5 28
 
0.9%
7 22
 
0.7%
Other values (2) 37
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2096
64.8%
Other Punctuation 1000
30.9%
Dash Punctuation 141
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1583
75.5%
1 207
 
9.9%
2 92
 
4.4%
4 51
 
2.4%
3 45
 
2.1%
6 31
 
1.5%
5 28
 
1.3%
7 22
 
1.0%
9 19
 
0.9%
8 18
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1583
48.9%
. 1000
30.9%
1 207
 
6.4%
- 141
 
4.4%
2 92
 
2.8%
4 51
 
1.6%
3 45
 
1.4%
6 31
 
1.0%
5 28
 
0.9%
7 22
 
0.7%
Other values (2) 37
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1583
48.9%
. 1000
30.9%
1 207
 
6.4%
- 141
 
4.4%
2 92
 
2.8%
4 51
 
1.6%
3 45
 
1.4%
6 31
 
1.0%
5 28
 
0.9%
7 22
 
0.7%
Other values (2) 37
 
1.1%

comp2015
Text

Distinct89
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:09.435344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.278
Min length3

Characters and Unicode

Total characters3278
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)5.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row-40.0
ValueCountFrequency (%)
0.0 562
56.2%
1.0 128
 
12.8%
2.0 86
 
8.6%
3.0 45
 
4.5%
4.0 27
 
2.7%
5.0 14
 
1.4%
6.0 11
 
1.1%
17.0 7
 
0.7%
8.0 7
 
0.7%
7.0 7
 
0.7%
Other values (62) 106
 
10.6%
2023-12-09T21:17:09.813558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1578
48.1%
. 1000
30.5%
1 190
 
5.8%
- 158
 
4.8%
2 125
 
3.8%
3 61
 
1.9%
4 50
 
1.5%
5 30
 
0.9%
6 27
 
0.8%
7 25
 
0.8%
Other values (2) 34
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2120
64.7%
Other Punctuation 1000
30.5%
Dash Punctuation 158
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1578
74.4%
1 190
 
9.0%
2 125
 
5.9%
3 61
 
2.9%
4 50
 
2.4%
5 30
 
1.4%
6 27
 
1.3%
7 25
 
1.2%
9 17
 
0.8%
8 17
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1578
48.1%
. 1000
30.5%
1 190
 
5.8%
- 158
 
4.8%
2 125
 
3.8%
3 61
 
1.9%
4 50
 
1.5%
5 30
 
0.9%
6 27
 
0.8%
7 25
 
0.8%
Other values (2) 34
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1578
48.1%
. 1000
30.5%
1 190
 
5.8%
- 158
 
4.8%
2 125
 
3.8%
3 61
 
1.9%
4 50
 
1.5%
5 30
 
0.9%
6 27
 
0.8%
7 25
 
0.8%
Other values (2) 34
 
1.0%

comp2016
Text

Distinct88
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:10.063063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.27
Min length3

Characters and Unicode

Total characters3270
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.2%

Sample

1st row0.0
2nd row0.0
3rd row-9.0
4th row0.0
5th row12.0
ValueCountFrequency (%)
0.0 533
53.3%
1.0 169
 
16.9%
2.0 64
 
6.4%
4.0 39
 
3.9%
3.0 36
 
3.6%
6.0 17
 
1.7%
8.0 13
 
1.3%
5.0 12
 
1.2%
7.0 8
 
0.8%
10.0 8
 
0.8%
Other values (61) 101
 
10.1%
2023-12-09T21:17:10.434419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1552
47.5%
. 1000
30.6%
1 241
 
7.4%
- 145
 
4.4%
2 99
 
3.0%
3 61
 
1.9%
4 59
 
1.8%
6 30
 
0.9%
5 27
 
0.8%
8 26
 
0.8%
Other values (2) 30
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2125
65.0%
Other Punctuation 1000
30.6%
Dash Punctuation 145
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1552
73.0%
1 241
 
11.3%
2 99
 
4.7%
3 61
 
2.9%
4 59
 
2.8%
6 30
 
1.4%
5 27
 
1.3%
8 26
 
1.2%
7 18
 
0.8%
9 12
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1552
47.5%
. 1000
30.6%
1 241
 
7.4%
- 145
 
4.4%
2 99
 
3.0%
3 61
 
1.9%
4 59
 
1.8%
6 30
 
0.9%
5 27
 
0.8%
8 26
 
0.8%
Other values (2) 30
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1552
47.5%
. 1000
30.6%
1 241
 
7.4%
- 145
 
4.4%
2 99
 
3.0%
3 61
 
1.9%
4 59
 
1.8%
6 30
 
0.9%
5 27
 
0.8%
8 26
 
0.8%
Other values (2) 30
 
0.9%

comp2017
Text

Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:10.689749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3
Min length3

Characters and Unicode

Total characters3300
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)5.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row349.0
ValueCountFrequency (%)
0.0 496
49.6%
1.0 149
 
14.9%
2.0 88
 
8.8%
3.0 35
 
3.5%
4.0 29
 
2.9%
5.0 20
 
2.0%
6.0 18
 
1.8%
7.0 14
 
1.4%
10.0 13
 
1.3%
9.0 11
 
1.1%
Other values (68) 127
 
12.7%
2023-12-09T21:17:11.082168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1527
46.3%
. 1000
30.3%
1 209
 
6.3%
- 155
 
4.7%
2 125
 
3.8%
3 65
 
2.0%
4 53
 
1.6%
5 50
 
1.5%
6 41
 
1.2%
8 28
 
0.8%
Other values (2) 47
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2145
65.0%
Other Punctuation 1000
30.3%
Dash Punctuation 155
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1527
71.2%
1 209
 
9.7%
2 125
 
5.8%
3 65
 
3.0%
4 53
 
2.5%
5 50
 
2.3%
6 41
 
1.9%
8 28
 
1.3%
9 24
 
1.1%
7 23
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1527
46.3%
. 1000
30.3%
1 209
 
6.3%
- 155
 
4.7%
2 125
 
3.8%
3 65
 
2.0%
4 53
 
1.6%
5 50
 
1.5%
6 41
 
1.2%
8 28
 
0.8%
Other values (2) 47
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1527
46.3%
. 1000
30.3%
1 209
 
6.3%
- 155
 
4.7%
2 125
 
3.8%
3 65
 
2.0%
4 53
 
1.6%
5 50
 
1.5%
6 41
 
1.2%
8 28
 
0.8%
Other values (2) 47
 
1.4%

comp2018
Text

Distinct96
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:11.351042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.286
Min length3

Characters and Unicode

Total characters3286
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)5.1%

Sample

1st row0.0
2nd row0.0
3rd row1040.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 509
50.9%
1.0 115
 
11.5%
2.0 97
 
9.7%
4.0 44
 
4.4%
3.0 39
 
3.9%
8.0 19
 
1.9%
5.0 17
 
1.7%
6.0 16
 
1.6%
11.0 10
 
1.0%
7.0 10
 
1.0%
Other values (72) 124
 
12.4%
2023-12-09T21:17:11.742957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1533
46.7%
. 1000
30.4%
1 189
 
5.8%
- 133
 
4.0%
2 131
 
4.0%
4 70
 
2.1%
3 67
 
2.0%
5 41
 
1.2%
6 39
 
1.2%
8 32
 
1.0%
Other values (2) 51
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2153
65.5%
Other Punctuation 1000
30.4%
Dash Punctuation 133
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1533
71.2%
1 189
 
8.8%
2 131
 
6.1%
4 70
 
3.3%
3 67
 
3.1%
5 41
 
1.9%
6 39
 
1.8%
8 32
 
1.5%
7 30
 
1.4%
9 21
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1533
46.7%
. 1000
30.4%
1 189
 
5.8%
- 133
 
4.0%
2 131
 
4.0%
4 70
 
2.1%
3 67
 
2.0%
5 41
 
1.2%
6 39
 
1.2%
8 32
 
1.0%
Other values (2) 51
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1533
46.7%
. 1000
30.4%
1 189
 
5.8%
- 133
 
4.0%
2 131
 
4.0%
4 70
 
2.1%
3 67
 
2.0%
5 41
 
1.2%
6 39
 
1.2%
8 32
 
1.0%
Other values (2) 51
 
1.6%

comp2019
Text

Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:12.020913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.297
Min length3

Characters and Unicode

Total characters3297
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.2%

Sample

1st row0.0
2nd row-2.0
3rd row1.0
4th row0.0
5th row44.0
ValueCountFrequency (%)
0.0 484
48.4%
1.0 151
 
15.1%
2.0 76
 
7.6%
3.0 38
 
3.8%
4.0 30
 
3.0%
6.0 27
 
2.7%
5.0 24
 
2.4%
8.0 16
 
1.6%
9.0 12
 
1.2%
7.0 10
 
1.0%
Other values (74) 132
 
13.2%
2023-12-09T21:17:12.440239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1505
45.6%
. 1000
30.3%
1 227
 
6.9%
- 140
 
4.2%
2 114
 
3.5%
3 71
 
2.2%
4 61
 
1.9%
6 58
 
1.8%
5 45
 
1.4%
8 31
 
0.9%
Other values (2) 45
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2157
65.4%
Other Punctuation 1000
30.3%
Dash Punctuation 140
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1505
69.8%
1 227
 
10.5%
2 114
 
5.3%
3 71
 
3.3%
4 61
 
2.8%
6 58
 
2.7%
5 45
 
2.1%
8 31
 
1.4%
9 27
 
1.3%
7 18
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1505
45.6%
. 1000
30.3%
1 227
 
6.9%
- 140
 
4.2%
2 114
 
3.5%
3 71
 
2.2%
4 61
 
1.9%
6 58
 
1.8%
5 45
 
1.4%
8 31
 
0.9%
Other values (2) 45
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1505
45.6%
. 1000
30.3%
1 227
 
6.9%
- 140
 
4.2%
2 114
 
3.5%
3 71
 
2.2%
4 61
 
1.9%
6 58
 
1.8%
5 45
 
1.4%
8 31
 
0.9%
Other values (2) 45
 
1.4%

comp2020
Text

Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size58.9 KiB
2023-12-09T21:17:12.688149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.23
Min length3

Characters and Unicode

Total characters3230
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)5.3%

Sample

1st row0.0
2nd row0.0
3rd row-2.0
4th row0.0
5th row263.0
ValueCountFrequency (%)
0.0 565
56.5%
1.0 146
 
14.6%
2.0 90
 
9.0%
3.0 29
 
2.9%
4.0 18
 
1.8%
5.0 17
 
1.7%
7.0 12
 
1.2%
8.0 12
 
1.2%
10.0 11
 
1.1%
6.0 8
 
0.8%
Other values (58) 92
 
9.2%
2023-12-09T21:17:13.060693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1588
49.2%
. 1000
31.0%
1 210
 
6.5%
2 117
 
3.6%
- 112
 
3.5%
3 50
 
1.5%
4 38
 
1.2%
5 31
 
1.0%
7 29
 
0.9%
6 23
 
0.7%
Other values (2) 32
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2118
65.6%
Other Punctuation 1000
31.0%
Dash Punctuation 112
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1588
75.0%
1 210
 
9.9%
2 117
 
5.5%
3 50
 
2.4%
4 38
 
1.8%
5 31
 
1.5%
7 29
 
1.4%
6 23
 
1.1%
8 21
 
1.0%
9 11
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1588
49.2%
. 1000
31.0%
1 210
 
6.5%
2 117
 
3.6%
- 112
 
3.5%
3 50
 
1.5%
4 38
 
1.2%
5 31
 
1.0%
7 29
 
0.9%
6 23
 
0.7%
Other values (2) 32
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1588
49.2%
. 1000
31.0%
1 210
 
6.5%
2 117
 
3.6%
- 112
 
3.5%
3 50
 
1.5%
4 38
 
1.2%
5 31
 
1.0%
7 29
 
0.9%
6 23
 
0.7%
Other values (2) 32
 
1.0%

comp2021
Text

Distinct98
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:13.336528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.271
Min length3

Characters and Unicode

Total characters3271
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)5.6%

Sample

1st row0.0
2nd row0.0
3rd row-2.0
4th row0.0
5th row89.0
ValueCountFrequency (%)
0.0 547
54.7%
1.0 121
 
12.1%
2.0 60
 
6.0%
3.0 41
 
4.1%
6.0 25
 
2.5%
4.0 23
 
2.3%
5.0 21
 
2.1%
8.0 11
 
1.1%
10.0 9
 
0.9%
7.0 8
 
0.8%
Other values (74) 134
 
13.4%
2023-12-09T21:17:13.729372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1573
48.1%
. 1000
30.6%
1 210
 
6.4%
2 110
 
3.4%
- 107
 
3.3%
3 71
 
2.2%
4 48
 
1.5%
6 47
 
1.4%
5 39
 
1.2%
8 22
 
0.7%
Other values (2) 44
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2164
66.2%
Other Punctuation 1000
30.6%
Dash Punctuation 107
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1573
72.7%
1 210
 
9.7%
2 110
 
5.1%
3 71
 
3.3%
4 48
 
2.2%
6 47
 
2.2%
5 39
 
1.8%
8 22
 
1.0%
7 22
 
1.0%
9 22
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1573
48.1%
. 1000
30.6%
1 210
 
6.4%
2 110
 
3.4%
- 107
 
3.3%
3 71
 
2.2%
4 48
 
1.5%
6 47
 
1.4%
5 39
 
1.2%
8 22
 
0.7%
Other values (2) 44
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1573
48.1%
. 1000
30.6%
1 210
 
6.4%
2 110
 
3.4%
- 107
 
3.3%
3 71
 
2.2%
4 48
 
1.5%
6 47
 
1.4%
5 39
 
1.2%
8 22
 
0.7%
Other values (2) 44
 
1.3%

comp2022
Text

Distinct101
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:13.997097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.278
Min length3

Characters and Unicode

Total characters3278
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)5.7%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row117.0
ValueCountFrequency (%)
0.0 512
51.2%
1.0 126
 
12.6%
2.0 67
 
6.7%
3.0 45
 
4.5%
4.0 36
 
3.6%
5.0 30
 
3.0%
7.0 17
 
1.7%
16.0 11
 
1.1%
6.0 10
 
1.0%
13.0 8
 
0.8%
Other values (74) 138
 
13.8%
2023-12-09T21:17:14.398313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1530
46.7%
. 1000
30.5%
1 215
 
6.6%
- 111
 
3.4%
2 108
 
3.3%
3 77
 
2.3%
4 66
 
2.0%
5 51
 
1.6%
6 48
 
1.5%
7 33
 
1.0%
Other values (2) 39
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2167
66.1%
Other Punctuation 1000
30.5%
Dash Punctuation 111
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1530
70.6%
1 215
 
9.9%
2 108
 
5.0%
3 77
 
3.6%
4 66
 
3.0%
5 51
 
2.4%
6 48
 
2.2%
7 33
 
1.5%
8 20
 
0.9%
9 19
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1530
46.7%
. 1000
30.5%
1 215
 
6.6%
- 111
 
3.4%
2 108
 
3.3%
3 77
 
2.3%
4 66
 
2.0%
5 51
 
1.6%
6 48
 
1.5%
7 33
 
1.0%
Other values (2) 39
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1530
46.7%
. 1000
30.5%
1 215
 
6.6%
- 111
 
3.4%
2 108
 
3.3%
3 77
 
2.3%
4 66
 
2.0%
5 51
 
1.6%
6 48
 
1.5%
7 33
 
1.0%
Other values (2) 39
 
1.2%

filed
Text

Distinct115
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:14.712192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.237
Min length3

Characters and Unicode

Total characters3237
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)7.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 516
51.6%
1.0 107
 
10.7%
2.0 67
 
6.7%
3.0 44
 
4.4%
4.0 39
 
3.9%
6.0 18
 
1.8%
5.0 17
 
1.7%
8.0 15
 
1.5%
7.0 13
 
1.3%
10.0 12
 
1.2%
Other values (93) 152
 
15.2%
2023-12-09T21:17:15.151479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1549
47.9%
. 1000
30.9%
1 200
 
6.2%
2 121
 
3.7%
3 81
 
2.5%
4 67
 
2.1%
6 51
 
1.6%
5 49
 
1.5%
- 39
 
1.2%
8 37
 
1.1%
Other values (2) 43
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2198
67.9%
Other Punctuation 1000
30.9%
Dash Punctuation 39
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1549
70.5%
1 200
 
9.1%
2 121
 
5.5%
3 81
 
3.7%
4 67
 
3.0%
6 51
 
2.3%
5 49
 
2.2%
8 37
 
1.7%
7 29
 
1.3%
9 14
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1549
47.9%
. 1000
30.9%
1 200
 
6.2%
2 121
 
3.7%
3 81
 
2.5%
4 67
 
2.1%
6 51
 
1.6%
5 49
 
1.5%
- 39
 
1.2%
8 37
 
1.1%
Other values (2) 43
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1549
47.9%
. 1000
30.9%
1 200
 
6.2%
2 121
 
3.7%
3 81
 
2.5%
4 67
 
2.1%
6 51
 
1.6%
5 49
 
1.5%
- 39
 
1.2%
8 37
 
1.1%
Other values (2) 43
 
1.3%

approved
Text

Distinct86
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:15.393680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.238
Min length3

Characters and Unicode

Total characters3238
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)3.9%

Sample

1st row0.0
2nd row8.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0 581
58.1%
1.0 133
 
13.3%
2.0 60
 
6.0%
4.0 30
 
3.0%
3.0 22
 
2.2%
6.0 18
 
1.8%
7.0 14
 
1.4%
8.0 11
 
1.1%
5.0 10
 
1.0%
9.0 9
 
0.9%
Other values (59) 112
 
11.2%
2023-12-09T21:17:15.749948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1600
49.4%
. 1000
30.9%
1 193
 
6.0%
- 113
 
3.5%
2 99
 
3.1%
4 52
 
1.6%
3 48
 
1.5%
6 32
 
1.0%
8 29
 
0.9%
5 27
 
0.8%
Other values (2) 45
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2125
65.6%
Other Punctuation 1000
30.9%
Dash Punctuation 113
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1600
75.3%
1 193
 
9.1%
2 99
 
4.7%
4 52
 
2.4%
3 48
 
2.3%
6 32
 
1.5%
8 29
 
1.4%
5 27
 
1.3%
7 25
 
1.2%
9 20
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1600
49.4%
. 1000
30.9%
1 193
 
6.0%
- 113
 
3.5%
2 99
 
3.1%
4 52
 
1.6%
3 48
 
1.5%
6 32
 
1.0%
8 29
 
0.9%
5 27
 
0.8%
Other values (2) 45
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1600
49.4%
. 1000
30.9%
1 193
 
6.0%
- 113
 
3.5%
2 99
 
3.1%
4 52
 
1.6%
3 48
 
1.5%
6 32
 
1.0%
8 29
 
0.9%
5 27
 
0.8%
Other values (2) 45
 
1.4%

permitted
Text

Distinct195
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size59.2 KiB
2023-12-09T21:17:16.178979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.541
Min length3

Characters and Unicode

Total characters3541
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)10.9%

Sample

1st row0.0
2nd row-5.0
3rd row2529.0
4th row64.0
5th row611.0
ValueCountFrequency (%)
0.0 262
26.2%
1.0 93
 
9.3%
2.0 70
 
7.0%
3.0 46
 
4.6%
4.0 45
 
4.5%
5.0 27
 
2.7%
6.0 26
 
2.6%
10.0 23
 
2.3%
7.0 23
 
2.3%
8.0 21
 
2.1%
Other values (167) 364
36.4%
2023-12-09T21:17:16.760805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1333
37.6%
. 1000
28.2%
1 328
 
9.3%
2 183
 
5.2%
3 125
 
3.5%
4 122
 
3.4%
6 90
 
2.5%
5 86
 
2.4%
8 86
 
2.4%
7 77
 
2.2%
Other values (2) 111
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2498
70.5%
Other Punctuation 1000
28.2%
Dash Punctuation 43
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1333
53.4%
1 328
 
13.1%
2 183
 
7.3%
3 125
 
5.0%
4 122
 
4.9%
6 90
 
3.6%
5 86
 
3.4%
8 86
 
3.4%
7 77
 
3.1%
9 68
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1333
37.6%
. 1000
28.2%
1 328
 
9.3%
2 183
 
5.2%
3 125
 
3.5%
4 122
 
3.4%
6 90
 
2.5%
5 86
 
2.4%
8 86
 
2.4%
7 77
 
2.2%
Other values (2) 111
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1333
37.6%
. 1000
28.2%
1 328
 
9.3%
2 183
 
5.2%
3 125
 
3.5%
4 122
 
3.4%
6 90
 
2.5%
5 86
 
2.4%
8 86
 
2.4%
7 77
 
2.2%
Other values (2) 111
 
3.1%

withdrawn
Text

Distinct111
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-09T21:17:17.059350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.337
Min length3

Characters and Unicode

Total characters3337
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)5.6%

Sample

1st row0.0
2nd row0.0
3rd row19.0
4th row0.0
5th row-6.0
ValueCountFrequency (%)
0.0 391
39.1%
1.0 148
 
14.8%
2.0 87
 
8.7%
3.0 47
 
4.7%
4.0 35
 
3.5%
5.0 31
 
3.1%
7.0 29
 
2.9%
6.0 24
 
2.4%
11.0 15
 
1.5%
16.0 14
 
1.4%
Other values (79) 179
17.9%
2023-12-09T21:17:17.494157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1415
42.4%
. 1000
30.0%
1 271
 
8.1%
2 141
 
4.2%
- 127
 
3.8%
3 83
 
2.5%
4 65
 
1.9%
5 64
 
1.9%
6 62
 
1.9%
7 47
 
1.4%
Other values (2) 62
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2210
66.2%
Other Punctuation 1000
30.0%
Dash Punctuation 127
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1415
64.0%
1 271
 
12.3%
2 141
 
6.4%
3 83
 
3.8%
4 65
 
2.9%
5 64
 
2.9%
6 62
 
2.8%
7 47
 
2.1%
8 38
 
1.7%
9 24
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1415
42.4%
. 1000
30.0%
1 271
 
8.1%
2 141
 
4.2%
- 127
 
3.8%
3 83
 
2.5%
4 65
 
1.9%
5 64
 
1.9%
6 62
 
1.9%
7 47
 
1.4%
Other values (2) 62
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1415
42.4%
. 1000
30.0%
1 271
 
8.1%
2 141
 
4.2%
- 127
 
3.8%
3 83
 
2.5%
4 65
 
1.9%
5 64
 
1.9%
6 62
 
1.9%
7 47
 
1.4%
Other values (2) 62
 
1.9%

inactive
Text

Distinct122
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
2023-12-09T21:17:17.892674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.391
Min length3

Characters and Unicode

Total characters3391
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)6.2%

Sample

1st row0.0
2nd row5.0
3rd row15.0
4th row0.0
5th row-14.0
ValueCountFrequency (%)
0.0 212
21.2%
1.0 158
15.8%
2.0 111
11.1%
3.0 77
 
7.7%
4.0 59
 
5.9%
5.0 38
 
3.8%
6.0 32
 
3.2%
9.0 24
 
2.4%
7.0 23
 
2.3%
8.0 21
 
2.1%
Other values (88) 245
24.5%
2023-12-09T21:17:18.516291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1251
36.9%
. 1000
29.5%
1 302
 
8.9%
2 195
 
5.8%
3 134
 
4.0%
- 119
 
3.5%
4 100
 
2.9%
5 73
 
2.2%
6 69
 
2.0%
9 57
 
1.7%
Other values (2) 91
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2272
67.0%
Other Punctuation 1000
29.5%
Dash Punctuation 119
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1251
55.1%
1 302
 
13.3%
2 195
 
8.6%
3 134
 
5.9%
4 100
 
4.4%
5 73
 
3.2%
6 69
 
3.0%
9 57
 
2.5%
7 52
 
2.3%
8 39
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1251
36.9%
. 1000
29.5%
1 302
 
8.9%
2 195
 
5.8%
3 134
 
4.0%
- 119
 
3.5%
4 100
 
2.9%
5 73
 
2.2%
6 69
 
2.0%
9 57
 
1.7%
Other values (2) 91
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1251
36.9%
. 1000
29.5%
1 302
 
8.9%
2 195
 
5.8%
3 134
 
4.0%
- 119
 
3.5%
4 100
 
2.9%
5 73
 
2.2%
6 69
 
2.0%
9 57
 
1.7%
Other values (2) 91
 
2.7%

shape_area
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:17:18.804616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.894
Min length11

Characters and Unicode

Total characters12894
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row1844421.38602
2nd row972312.102424
3rd row2582705.12917
4th row1006116.87191
5th row1226206.23617
ValueCountFrequency (%)
5575019.7346 1
 
0.1%
2152636.10522 1
 
0.1%
4280909.76685 1
 
0.1%
1778588.03648 1
 
0.1%
5641713.74401 1
 
0.1%
967527.899959 1
 
0.1%
1807152.75279 1
 
0.1%
1882647.52785 1
 
0.1%
3355904.51757 1
 
0.1%
2081505.56626 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T21:17:19.225936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1518
11.8%
2 1394
10.8%
3 1204
9.3%
9 1157
9.0%
5 1150
8.9%
7 1150
8.9%
6 1116
8.7%
8 1073
8.3%
4 1068
8.3%
0 1064
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11894
92.2%
Other Punctuation 1000
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1518
12.8%
2 1394
11.7%
3 1204
10.1%
9 1157
9.7%
5 1150
9.7%
7 1150
9.7%
6 1116
9.4%
8 1073
9.0%
4 1068
9.0%
0 1064
8.9%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12894
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1518
11.8%
2 1394
10.8%
3 1204
9.3%
9 1157
9.0%
5 1150
8.9%
7 1150
8.9%
6 1116
8.7%
8 1073
8.3%
4 1068
8.3%
0 1064
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1518
11.8%
2 1394
10.8%
3 1204
9.3%
9 1157
9.0%
5 1150
8.9%
7 1150
8.9%
6 1116
8.7%
8 1073
8.3%
4 1068
8.3%
0 1064
8.3%

shape_length
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:17:19.496962image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.881
Min length11

Characters and Unicode

Total characters12881
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row11023.0485355
2nd row4754.49521943
3rd row6976.28615076
4th row5075.33194592
5th row4459.15626593
ValueCountFrequency (%)
21348.9123454 1
 
0.1%
18302.8277591 1
 
0.1%
5468.90554688 1
 
0.1%
6035.91109726 1
 
0.1%
6384.49008647 1
 
0.1%
13004.2393745 1
 
0.1%
5125.99963991 1
 
0.1%
5951.3443622 1
 
0.1%
4796.30909919 1
 
0.1%
11880.1987223 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T21:17:19.896483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1295
10.1%
6 1290
10.0%
1 1267
9.8%
7 1228
9.5%
8 1185
9.2%
4 1184
9.2%
3 1170
9.1%
9 1167
9.1%
2 1101
8.5%
. 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11881
92.2%
Other Punctuation 1000
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1295
10.9%
6 1290
10.9%
1 1267
10.7%
7 1228
10.3%
8 1185
10.0%
4 1184
10.0%
3 1170
9.8%
9 1167
9.8%
2 1101
9.3%
0 994
8.4%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1295
10.1%
6 1290
10.0%
1 1267
9.8%
7 1228
9.5%
8 1185
9.2%
4 1184
9.2%
3 1170
9.1%
9 1167
9.1%
2 1101
8.5%
. 1000
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1295
10.1%
6 1290
10.0%
1 1267
9.8%
7 1228
9.5%
8 1185
9.2%
4 1184
9.2%
3 1170
9.1%
9 1167
9.1%
2 1101
8.5%
. 1000
7.8%